from typing import Dict, Any

import cv2
import numpy as np


# 视觉语言模型模块

class VisionLanguageModule:
    def __init__(self):
        """初始化视觉语言模型模块"""
        pass

    def analyze(self, image_data: bytes, prompt: str = "") -> Dict[str, Any]:
        """
        使用视觉语言模型分析图像

        Args:
            image_data: 图像字节数据
            prompt: 分析提示词

        Returns:
            视觉语言分析结果
        """
        try:
            # 将字节数据转换为OpenCV图像
            nparr = np.frombuffer(image_data, np.uint8)
            img = cv2.imdecode(nparr, cv2.IMREAD_COLOR)

            # 使用视觉语言模型进行分析（模拟实现）
            analysis_result = self._vlm_analysis(img, prompt)

            return {
                "prompt": prompt,
                "analysis": analysis_result,
                "confidence": 0.85
            }

        except Exception as e:
            raise RuntimeError(f"Vision language analysis failed: {str(e)}")

    def _vlm_analysis(self, img, prompt: str) -> str:
        """视觉语言模型分析"""
        # 模拟VLM分析结果
        if "document" in prompt.lower():
            return "This is a document image containing text paragraphs, a table, and a signature."
        elif "chart" in prompt.lower():
            return "This is a bar chart showing sales data for different products."
        else:
            return "This image contains various document elements including text, tables, and images."
